Lun Ai

According to our database, Lun Ai authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models.

Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin

Mach. Learn., November, 2025

Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations.

Lun Ai, Johannes Langer, Ute Schmid, Stephen H. Muggleton

CoRR, September, 2025

2024

Boolean Matrix Logic Programming.

Lun Ai, Stephen H. Muggleton

CoRR, 2024

Simulating Petri nets with Boolean Matrix Logic Programming.

Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin

CoRR, 2024

Active Learning of Digenic Functions with Boolean Matrix Logic Programming.

Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin

Proceedings of the Learning and Reasoning, 2024

2023

Explanatory machine learning for sequential human teaching.

Lun Ai, Johannes Langer, Stephen H. Muggleton, Ute Schmid

Mach. Learn., October, 2023

Human Comprehensible Active Learning of Genome-Scale Metabolic Networks.

Lun Ai, Shi-Shun Liang, Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton, Geoff S. Baldwin

CoRR, 2023

2021

Beneficial and harmful explanatory machine learning.

Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid

Mach. Learn., 2021